Azure Machine Learning Managed Online and Batch Endpoints now in public preview //Build 2021.
Published date: 25 May, 2021
We are announcing the public preview of Managed Online and Batch Endpoints. These new features help you seamlessly deploy & score models without managing the underlying infrastructure.
- Managed Online Endpoints provide out of box capabilities to operationalize models: SLA metrics including latency, throughput and resource utilization, security aspects including managed identity and authentication, integration with log analytics, and safe rollout of new model versions.
- Managed Batch Endpoints help customers deploy and operationalize their models and get a consistent endpoint to batch score large scale data. It also supports no-code MLflow model deployment.
Learn more about Managed Online Endpoints.
Learn more about Managed Batch Endpoints.